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Cannot enlarge memory arrays.

See original GitHub issue

I don’t succeed in uploading a 800MB DICOM file to paraview-glance because of memory issues. How can I upload these larger files, without upgrading my RAM or VRAM? Thank you!

Error on a development server on Windows 10, 16GB RAM, 8GB VRAM:

Cannot enlarge memory arrays. Either (1) compile with  -s TOTAL_MEMORY=X  with X higher than the current value 1694498816, (2) compile with  -s ALLOW_MEMORY_GROWTH=1  which allows increasing the size at runtime, or (3) if you want malloc to return NULL (0) instead of this abort, compile with  -s ABORTING_MALLOC=0

Error on Ubuntu 18.04, 32GB RAM, 11GB VRAM:

Exception thrown while writing the image itkDICOMImageSeriesReaderJSBindingWasm.js:9:28594
<empty string> itkDICOMImageSeriesReaderJSBindingWasm.js:9:28594
itk::MemoryAllocationError (0x956ed0) itkDICOMImageSeriesReaderJSBindingWasm.js:9:28594
Location: "unknown" itkDICOMImageSeriesReaderJSBindingWasm.js:9:28594
File: /ITK/Modules/Core/Common/include/itkImportImageContainer.hxx itkDICOMImageSeriesReaderJSBindingWasm.js:9:28594
uncaught exception: Object
Line: 192 itkDICOMImageSeriesReaderJSBindingWasm.js:9:28594
Description: Failed to allocate memory for image. itkDICOMImageSeriesReaderJSBindingWasm.js:9:28594
<empty string> 2 itkDICOMImageSeriesReaderJSBindingWasm.js:9:28594

Issue Analytics

State:
Created 3 years ago
Comments:11 (3 by maintainers)

Top GitHub Comments

1reaction

florystcommented, May 26, 2020

Oh, hm that might be the switch from workerfs to memfs for itk.js virtual filesystem. Will have to investigate further to see how we can handle large files.

1reaction

thewtexcommented, May 22, 2020

@floryst this could likely be resolved, along with faster loading, with your WIP that enables separate series sorting / loading. In this case the pixel data is loaded incrementally, in slabs, in parallel, reducing memory usage.

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